[visionlist] 2nd Call: Perceptual Organization in Computer and Biological Vision

James Harvey Elder jelder at yorku.ca
Thu Aug 4 16:54:42 -04 2022

Frontiers Research Topic (2nd Call):

Perceptual Organization in Computer and Biological Vision

We are pleased to extend the call for abstracts for this interdisciplinary Frontiers Research Topic on Perceptual Organization in Computer and Biological Vision.  For more information and to submit your abstract, please go to
https://www.frontiersin.org/research-topics/36776/perceptual-organization-in-computer-and-biological-vision <https://www.frontiersin.org/research-topics/36776/perceptual-organization-in-computer-and-biological-vision>.  Also feel free to reach out directly with questions to any one of the topic editors (see below). Submission deadline for the full paper is Dec 1, 2022 but extensions may be possible.
About this Research Topic

A principal challenge for both biological and machine vision systems is to integrate and organize the diversity of cues received from the environment into the coherent global representations we experience and require to make good decisions and take effective actions. Early psychological investigations date back more than 100 years to the seminal work of the Gestalt school. Yet in the last 50 years, neuroscientific and computational approaches to understanding perceptual organization have become equally important, and a full understanding requires integration of all three approaches.

This highly interdisciplinary Research Topic welcomes contributions spanning Computer Science, Psychology, and Neuroscience, with the aim of presenting a single, unified collection that will encourage integration and cross-fertilization across disciplines.

Perceptual organization can be defined as the process of establishing meaningful relational structures over raw visual data, where the extracted relations correspond to the physical structure and semantics of the scene. The relational structure may be simple, e.g., set membership for image segmentation, or more complex, for example, sequence representations of contours, hierarchical representations of surfaces, layered representations of scenes, etc. These representations support higher-level visual tasks such as object detection, object recognition, activity recognition or 3D scene understanding.

This Research Topic invites contributions on any aspect of perceptual organization of vision, including both computer vision and biological vision, using psychological, neuroscientific and/or computational approaches. The Editors especially encourage papers that integrate across these approaches to achieve a more complete understanding. Topics of interest include (but are not limited to):

* Object and scene segmentation
* Contour grouping
* Figure/ground & border ownership
* Role of feedback and recurrence
* Relationship to scene and image statistics
* Perceptual organization in depth
* Spatiotemporal grouping
* Modal and amodal completion
* Deep learning models of perceptual grouping

Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Topic Editors

James Elder <https://loop.frontiersin.org/people/1455726/overview>
York University <https://loop.frontiersin.org/people/1455726/overview>
Toronto, Canada <https://loop.frontiersin.org/people/1455726/overview>

Dirk Bernhardt-Walther <https://loop.frontiersin.org/people/1255933/overview>
University of Toronto <https://loop.frontiersin.org/people/1255933/overview>
Toronto, Canada <https://loop.frontiersin.org/people/1255933/overview>

Anitha Pasupathy <https://loop.frontiersin.org/people/10944/overview>
University of Washington <https://loop.frontiersin.org/people/10944/overview>
Seattle, United States <https://loop.frontiersin.org/people/10944/overview>

Mary A. Peterson <https://loop.frontiersin.org/people/101460/overview>
University of Arizona <https://loop.frontiersin.org/people/101460/overview>
Tucson, United States <https://loop.frontiersin.org/people/101460/overview>



James H. Elder
Professor & York Research Chair in Human and Computer Vision
Department of Electrical Engineering & Computer Science, Lassonde School of Engineering
Department of Psychology, Faculty of Health

Contact Information:

Centre for Vision Research
LAS 0009
York University
4700 Keele Street
Toronto, Ontario
Canada M3J 1P3

tel: (416) 736-2100  ext. 66475
fax: (416) 736-5857

jelder at yorku.ca

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